edu.northwestern.at.utils.math.distributions

Class Gamma

java.lang.Object

edu.northwestern.at.utils.math.distributions.Gamma

public class Gamma
extends java.lang.Object

Gamma distribution functions.

Field Summary

Fields

Modifier and Type	Field and Description
static double	MAXGAM Maximum value for which gamma which can be computed.

Constructor Summary

Constructors

Modifier	Constructor and Description
protected	Gamma() Make class non-instantiable but inheritable.

Method Summary

Methods

Modifier and Type	Method and Description
static double	gamma(double x) Gamma function.
static double	incompleteGamma(double x, double alpha) Cumulative probability density function for the incomplete gamma function.
static double	incompleteGamma(double x, double alpha, int dPrec, int maxIter) Cumulative probability density function for the incomplete gamma function.
static double	logGamma(double y) Calculate log of Gamma function.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

MAXGAM

public static final double MAXGAM

Maximum value for which gamma which can be computed.

See Also:

Constant Field Values

Constructor Detail

Gamma

protected Gamma()

Make class non-instantiable but inheritable.

Method Detail

gamma

public static double gamma(double x)

Gamma function.

Parameters:

x - Value for which Gamma is to be computed.

Returns:

Value of gamma function if computable. The value Double.POSITIVE_INFINITY is returned for bad values of x or when overflow would occur.

The method used is presented in "An Overview of Software Development for Special Functions" by W. J. Cody in Lecture Notes in Mathematics, 506, Numerical Analysis Dundee, 1975, G. A. Watson (ed.), Springer Verlag, Berlin, 1976.

Also see Hart et al, "Computer Approximations", Wiley(1968), p. 130F.

This java code is a fairly straightforward translation of the freely available Fortran function GAMMA by Cody and Stolz.

logGamma

public static double logGamma(double y)

Calculate log of Gamma function.

Parameters:

y - Gamma distribution parameter.

Returns:

Log gamma for specified parameter. The value Double.POSITIVE_INFINITY is returned for y <= 0.0 or when overflow would occur.

Minimax polynomial approximations are used over the intervals [-inf,0], [0,.5], [.5,1.5], [1.5,4.0], [4.0,12.0], [12.0,+inf].

See Hart et al, "Computer Approximations", Wiley(1968), p. 130F, and also Cody and Hillstrom, "Chebyshev approximations for the natural logarithm of the Gamma function", Mathematics of Computation, 21, April, 1967, P. 198F.

The minimax coefficients for y > 12 come from Hart et al. The other coefficients come from unpublished work by W. J. Cody and L. Stoltz at Argonne National Laboratory. This java code is a fairly straightforward translation of the freely available Fortran function ALGAMA by Cody and Stolz.

incompleteGamma

public static double incompleteGamma(double x,
                     double alpha,
                     int dPrec,
                     int maxIter)
                              throws java.lang.IllegalArgumentException

Cumulative probability density function for the incomplete gamma function.

Parameters:

x - Gamma distribution value

alpha - Shape parameter

dPrec - Digits of precision desired (1 < dPrec < Constants.MAXPREC)

maxIter - Maximum number of iterations allowed

Returns:

Cumulative probability density function value

Throws:

java.lang.IllegalArgumentException - if x < 0 or alpha <= 0

Either an infinite series summation or a continued fraction approximation is used, depending upon the argument range. See Bhattacharjee GP (1970) The incomplete gamma integral. Applied Statistics, 19: 285-287 (AS32) . The result is accurate to about 14 decimal digits.

incompleteGamma

public static double incompleteGamma(double x,
                     double alpha)
                              throws java.lang.IllegalArgumentException

Cumulative probability density function for the incomplete gamma function.

Parameters:

x - Gamma distribution value

alpha - Shape parameter

Returns:

Cumulative probability density function value

Throws:

java.lang.IllegalArgumentException - if x < 0 or alpha <= 0

Either an infinite series summation or a continued fraction approximation is used, depending upon the argument range. See Bhattacharjee GP (1970) The incomplete gamma integral. Applied Statistics, 19: 285-287 (AS32) . The result is accurate to about 14 decimal digits.